"(…) So, Cluetail is a tribute to the Cluetrain Manifesto and the Long Tail.

We totally dig it that 'markets are conversations', that the
Internet is one huge pool of conversations, and the best clues are
often found in the 'Long Tail'.

If you would like to draw a popularity graph of online
conversations, you would get a typical 'Long Tail' graph, which is a
power law graph which is extended quite indefinitely.

Britney Spears's appearance on the MTV Music Awards may very well be
one of the most popular conversations on the day after the awards.

However, if you would take any individual person apart, and asked them, "What is the most relevant conversation to you today?", it would most likely be a conversation that takes place somewhere down the 'Long Tail'.

Cluetail actually connects people to the online conversation that
are most relevant to them, and to the people who are engaged in those
conversations, who are most relevant to them.

We believe that there is actually an enormous un-tapped value in the 'Long Tail'.

Companies like Nokia and Apple are fairly good at connecting
people to the people who are listed in their contacts list on their
mobile devices.

Search engines like Google, Yahoo and Bing are fairly good at connecting people to the things that they know how to search for.

Companies like Facebook, FriendFeed, LinkedIn, Plaxo, Twitter and
other 'Social Web' services are starting to be good at connecting
people to the people in their social networks.

However, all the methods that these services use are based on
popularity and serendipity. In other words: ranking high on Google
results pages, or coincidence.

Now, at Cluetail [W]e look at the social objects that people
share online. For example, blog posts, social bookmarks on Delicious
and other services, shared reading…

We are developing several applications. Some are for businesses and
organizations, and some are web services that anyone can use.

So, for example if you have a fairly large intranet, Cluetail can
help identify the people in the company who are currently perhaps
working in silos but who might actually talk to each other because they
have similar interests or they are working on similar ideas.

Another example is our 'Lunch Date' application. So, based on your
location and on the social objects that you've shared online, we can
recommend to you a person with whom you might want to have lunch today.

Oh, my phone is ringing.

It looks like my lunch date has arrived, so I'll better go and meet her.